Abstract: Large language models(LLMs) are rapidly emerging as a critical driver of intelligent transformation in the financial industry.Leveraging superior natural language processing and knowledge reasoning capabilities, LLMs have demonstrated significant effectiveness across multiple domains, including robo-advisory, risk management, compliance monitoring, and customer service, fundamentally reshaping traditional business models.From frontier technological innovations to scenario-based applications, LLMs not only enhance financial institutions' capacity to address complex market demands but also provide robust technical support for exploring innovative pathways.However, LLM deployment still faces challenges related to transparency, security, and energy consumption.Against the backdrop of continuous technological advancement and deepening global collaboration, LLMs exhibit promising potential in green finance, inclusive finance, and cross-border regulation.By analyzing technological developments, practical applications, and challenge responses in the financial sector, and projecting future trends, this paper aims to provide theoretical foundations and practical guidance for intelligent upgrading of the financial industry.